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DeepSeek R1 Zero vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 27.3% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+27.3%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+27.3%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0